ArticleJMIR formative research2026
Health Care Professionals' Perceptions of AI in Clinical Practice: Productivity, Enjoyment, and Pay.
Michael L Chen, Jiyeong Kim, Mariana Ramirez Posada, David Entwistle, Isabella de Vere Hunt, Yifan Li, Xue Li, Nathanael J Fast, Fatima Rodriquez, Albert Chiou and 2 more
Abstract read
In one paragraphArticle in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
12 authors.
Michael L Chen *Stanford University, 269 Campus Drive, Stanford, CA, 94305, United States, 1 6507250452.ORCID 0000-0002-0168-1122 Jiyeong Kim *Stanford University, 269 Campus Drive, Stanford, CA, 94305, United States, 1 6507250452.ORCID 0000-0002-2869-5751 Mariana Ramirez PosadaStanford University, 269 Campus Drive, Stanford, CA, 94305, United States, 1 6507250452.ORCID 0009-0008-9628-3610 David EntwistleStanford University, 269 Campus Drive, Stanford, CA, 94305, United States, 1 6507250452.
Yifan LiUniversity of Hong Kong, Hong Kong, China (Hong Kong).
Fatima RodriquezStanford University, 269 Campus Drive, Stanford, CA, 94305, United States, 1 6507250452.ORCID 0000-0002-5226-0723 Albert ChiouStanford University, 269 Campus Drive, Stanford, CA, 94305, United States, 1 6507250452.ORCID 0000-0002-8436-0008 Funding
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6 · The paper itselfAbstract
Unlabelled: Despite widespread discussion of opportunities and risks about AI in medicine, few health care professionals routinely used AI during this study period. Physicians and men were more likely to report frequent AI use, and frequent AI users more often reported positive sentiments about AI's future impacts on pay, enjoyment, and productivity at work. The youngest professionals (≤29 years) were less engaged and more skeptical about AI's future benefits. These findings highlight a gap between AI's promise and medical practice, as adoption varies by role, experience, and demographics.
Indexed as
Artificial IntelligenceAttitude of Health PersonnelEfficiencyHealth PersonnelPerceptionAdultFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and QuestionnairesAI adoption in medicineAI and job satisfactionAI and productivityartificial intelligenceperception of health care professions
Identifiers
PMID42684981
PMCPMC13537275
What OpenQuestion holds
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